Iterative least squares design of perfect reconstruction QMF banks

Author

Rossi, Michel ; Zhang, Jin-Yun ; Steenaart, Willem

Author_Institution

Ottawa Univ., Ont., Canada

Volume

2

fYear

1996

fDate

26-29 May 1996

Firstpage

762

Abstract

A simple and efficient algorithm to design M-band perfect reconstruction (PR) quadrature mirror filter (QMF) banks is presented. The originality of our approach is that the design does not rely on a computationally intensive, nonlinear optimization method but rather on an iterative least squares method. The algorithm is simple to implement and rapidly converging. Design examples and a MATLAB program implementing the proposed algorithm are included

Keywords

band-pass filters; circuit CAD; convergence of numerical methods; filtering theory; iterative methods; least squares approximations; quadrature mirror filters; signal reconstruction; M-band perfect reconstruction filter banks; MATLAB program; algorithm; convergence; iterative least squares design; iterative least squares method; multirate signal processing; perfect reconstruction QMF banks; quadrature mirror filter; Algorithm design and analysis; Filter bank; Finite impulse response filter; Image reconstruction; Iterative algorithms; Least squares methods; Nonlinear filters; Phase distortion; Phase modulation; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1996. Canadian Conference on

Conference_Location

Calgary, Alta.

ISSN

0840-7789

Print_ISBN

0-7803-3143-5

Type

conf

DOI

10.1109/CCECE.1996.548264

Filename

548264